Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

Novel deep learning for multi-class classification of Alzheimer’s in disability using MRI datasets

IntroductionAlzheimer’s disease (AD) is one of the most common neurodegenerative disabilities that often leads to memory loss, confusion, difficulty in language and trouble with motor coordination. Although several machine learning (ML) and deep learning (DL) algorithms have been utilized to identif...

Full description

Saved in:
Bibliographic Details
Main Authors: Sumaiya Binte Shahid, Maleeha Kaikaus, Md. Hasanul Kabir, Mohammad Abu Yousuf, A. K. M. Azad, A. S. Al-Moisheer, Naif Alotaibi, Salem A. Alyami, Touhid Bhuiyan, Mohammad Ali Moni
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Bioinformatics
Subjects:
disability research
Alzheimer’s disease (AD)
dementia
deep learning
magnetic resonance imaging (MRI)
convolutional neural network (CNN)
Online Access:https://www.frontiersin.org/articles/10.3389/fbinf.2025.1567219/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items